Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description adds substantial behavioral context beyond annotations: no LLM is invoked, Mailchimp may be called after validation, no local files/queue/inbox/history are used, success requires Contact acknowledgement, retries should reuse details, timeouts leave remote outcomes uncertain, and the contact is not subscribed to marketing. These details clarify external side effects, persistence, retry semantics, and failure modes that annotations alone do not fully cover.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is dense but mostly earns its space, covering behavior, side effects, permissions, and failure semantics in a compact form. The core action is not front-loaded—the first two sentences focus on implementation constraints—but there is little outright waste.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a nine-parameter, six-required tool with no output schema and low schema description coverage, the description is strong on external behavior but incomplete on parameter semantics and return/acknowledgement details. It is adequate to understand the tool's effects, but not fully complete for correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is only 33%, so the description should compensate by explaining the nine parameters, but it does not name or clarify most of them. It indirectly touches user_authorized ('explicit permission') and idempotency/retry behavior ('same details'), but required fields such as name, email, company, service, and optional fields such as timing and weekly_capacity receive no added meaning.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific action and resource: sending a project introduction directly to Contact and updating the contact's latest project fields. It is clear what the tool does overall, although the capitalized 'Contact' is somewhat ambiguous and the sibling get_company_profile is not mentioned for differentiation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

It gives an important precondition ('with explicit permission') and retry guidance, implying the tool is for submitting inquiry details rather than retrieving data. However, it does not explicitly state when to use this versus alternatives or when not to use it, and the only sibling is not referenced.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.